Integrated inventory models with fuzzy annual demand and fuzzy production rate in a supply chain

International Journal of Production Research

Volumn 46, Issue 3, 2008, Pages 753-770

  Pan, J C H ^a   Yang, M F ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Fuzzy numbers; Integrated inventory; JIT; Supply chain management

Indexed keywords

FUZZY LOGIC; INVENTORY CONTROL; NUMBER THEORY; OPTIMIZATION;

BUSINESS FORMULA; FUZZY NUMBERS; INTEGRATED INVENTORY;

SUPPLY CHAIN MANAGEMENT;

EID: 36248952068     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540600898072     Document Type: Article

References (23)

1. Banerjee, A., A joint economic lot size model for purchaser and vender. Decision Sci., 1986, 17, 292-311.
2. Chang, H.C., An application of fuzzy sets theory to the EOQ model with imperfect quality items. Comput. Oper. Res., 2004, 31, 2079-2092.
3. Chang, H.C. and Ouyang, L.Y., Determining the optimal inventory and investment strategies for quality improvement in the fuzzy sense. Infor. Manage. Sci., 2002, 13, 1-12.
4. Chen, S.H. and Wang, C.C., Backorder fuzzy inventory model under functional principle. Inf. Sci., 1996, 95, 71-79.
5. Goyal, S.K., An integrated inventory model for a single supplier-single customer problem. Int. J. Prod. Res., 1976, 15, 107-111.
6. Goyal, S.K., A joint economic lot size model for purchaser and vendor: a comment. Decision Sci., 1988, 19, 236-241.
7. Goyal, S.K., Integrated inventory models: the buyer-vendor Coordination. Eur. J. Oper. Res, 1989, 41, 261-269.
8. Ha, D. and Kim, S.L., Implementation of JIT purchasing: an integrated approach. Prod. Plan. Contr., 1997, 8, 152-157.
9. Hill, R.M. and Omar, M., Another look at the single-vendor single-buyer integrated production-inventory problem. Int. J. Prod. Res., 2006, 44, 791-800.
10. Huang, C.K., An integrated vendor-buyer cooperative inventory model for items with imperfect quality. Prod. Plan. Contr., 2002, 13, 355-361.
11. Kaufmann, A. and Gupta, M.M., Introduction to Fuzzy Arithmetic: Theory and Applications, 1991 (Van Nostrand Reinhold: New York).
12. Kelle, P., Pawlowski, S. and Akbulut, A., The influence of quantitative and organizational factors on the cooperation in supply chain. Twelfth International Working Seminar on Production Economics, Igls/Innsbruck Austria, 2002.
13. Lee, H.M. and Yao, J.S., Economic production quantity for fuzzy demand quantity and fuzzy production quantity. Eur. J. Oper. Res., 1998, 109, 203-211.
14. Lu, L., A one-vendor multi-buyer integrated inventory model. Eur. J. Oper. Res., 1995, 81, 312-323.
15. Pan, J.C.H. and Yang, J.S., A study of an integrated inventory with controllable lead time. Int. J. Prod. Res., 2004, 40, 1263-1273.
16. Park, K.S., Fuzzy-set theoretic interpretation of economic order quantity. IEEE Trans. Syst. Man Cybern., 1987, 17, 1082-1084.
17. Roy, T.K. and Maiti, M., A fuzzy EOQ model with demand-dependent unit cost under limited storage capacity. Eur. J. Oper. Res., 1997, 99, 425-432.
18. Stefan, W., Stefan, S., Van den Bulte, C. and Hans Franses, P., Vertical marketing systems for complex products: a triadic perspective. J. Marketing Res., 2004, 41, 479-487.
19. Yang, J.S. and Pan, J.C.H., Just-in-time purchasing: an integrated inventory model involving deterministic variable lead time and quality improvement investment. Int. J. Prod. Res., 2004, 42, 853-864.
20. Yao, J.S., Chang, S.C and Su, J.S., Fuzzy inventory without backorder for fuzzy order quantity and fuzzy total demand quantity. Comput. Oper. Res., 2000, 27, 935-962.
21. Yao, J.S., Ouyang, L.Y. and Chang, H.C., Models for a fuzzy inventory of two replaceable merchandises without backorder based on the signed distance of fuzzy sets. Eur. J. Oper. Res., 2003, 150, 601-616.
22. Yao, J.S. and Wu, K., Ranking fuzzy numbers based on decomposition principle and signed distance. Fuzzy Sets and Syst., 2000, 116, 275-288.
23. Zimmermann, H.J., Fuzzy set Theory and its Application, 1996 (Kluwer Academic publishers: Dordrecht).